Tests of asset pricing with time‐varying factor loads
提出一种基于因子风险溢价同质性的资产定价检验方法，允许因子载荷动态变化，并用美国行业组合数据拒绝了CAPM及Fama-French三因子和五因子模型。
Summary This paper proposes an empirical asset pricing test based on the homogeneity of the factor risk premia across risky assets. Factor loadings are considered to be dynamic and estimated from data at higher frequencies. The factor risk premia are obtained as estimates from time series regressions applied to each risky asset. We propose Swamy‐type tests robust to the presence of generated regressors and dependence between the pricing errors to assess the homogeneity of the factor risk premia and the zero intercept hypothesis. An application to US industry portfolios shows overwhelming evidence rejecting the capital asset pricing model, and the three and five factor models developed by Fama and French ( Journal of Financial Economics , 1993, 33 , 3–56; Journal of Financial Economics , 2015, 116 , 1–22). In particular, we reject the null hypotheses of a zero intercept, homogeneous factor risk premia across risky assets, and the joint test involving both hypotheses.